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  • Cognitive inferencing using MEG brain data analysis 
    Tanwar, Tanmay Prashansa; Gupta, Anubha (Advisor) (IIIT-Delhi, 2021-05)
    Working Memory is the small amount of information that is stored in the brain long enough for humans to use it. It is important in many cognitive functions and aids in problem solving. The Working memory task performance ...
  • Cognitive spectrum sharing protocols for energy harvesting wireless sensor nodes 
    Peer, Mansi; Bohara, Vivek Ashok (Advisor) (2016-12-06)
    Energy consumption is one of the primary concerns in the deployment of futuristic wireless sensor networks. On one hand due to advent of technologies such as Internet of Things (IoT), there has been tremendous growth in ...
  • Cognitive subcarrier sharing schemes for cooperative D2D communication frameworks 
    Gupta, Naveen; Bohara, Vivek Ashok (Advisor) (IIIT-Delhi, 2017-09)
    Past few decades have seen a phenomenal growth in wireless multimedia and data applications. Recent forecast (via Cisco) suggested that the overall mobile data traffic could reach 24.3 exabytes per month by 2019. As a ...
  • Collab VR 
    Panchal, Dushyant; Kapur, Ishan; Parnami, Aman (Advisor) (IIIT-Delhi, 2022-05)
    Virtual 3D immersive collaborative systems for remote collaboration are on the rise due to the tough times of COVID 19, where people are forced to work remotely. However, it is a cumbersome task to explore and figure out ...
  • Collective aspects of privacy in online social networks 
    Goel, Mansi; Garcia, David (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2017-11-16)
    In online social networks, users may choose to keep a lot of important information in the private domain. Users may choose to hide their location, gender, interests, and affiliations. With usage of social networks and ...
  • A combinatorial algorithm for fault tolerant k-median clustering on a line metric 
    Anderson, Nihesh; Arora, Kushagra; Raman, Rajiv (Advisor); Das, Syamantak (Advisor) (IIITD-Delhi, 2019-04-15)
    Given a metric space X, a set of clients C X, and a set of facilities F X, such that X = F S C. the fault-tolerant k-median problem (FTM) requires to open k facilities in F so as to minimize the sum of distances from each ...
  • Communication network discovery and leader selection strategies for multi-robot deployments 
    Lahiri, Shayan; Sujit, PB (Advisor) (2015-12-02)
    Robots have been successfully deployed during natural disasters to perform remote search and rescue missions. These robots are tasked under human operator supervision. For remote operations, network connectivity is ...
  • Community detection in networks 
    Agrawal, Chaitanya; Das, Syamantak (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2019-11-15)
    We are trying to devise a community detection algorithm for networks through modularity maximization. In this semester we further studied and understood the modularity function. We have explored semi-supervised active ...
  • A comparative study of correlation measures for the application of anomaly detection in data streams 
    Khatri, Sagar; Goyal, Vikram (Advisor) (2017)
    We study two measures namely maximal information coefficient (MIC) and distance correlation (dCor) for the application anomaly detection. MIC is based on the concept of information theory and measures the mutual information ...
  • Comparative study of various modulation schemes used in indoor VLC 
    Maheswari, Surbhi; Srivastava, Anand (Advisor) (2017-06)
    This thesis work proposes analysis and simulation of 5G multi-carrier transmission schemes based on generalized frequency division multiplexing (GFDM) along with existing optical orthogonal frequency division multiplexing ...
  • Comparing 4G internet speeds provided by different ISPs 
    Sharma, Soumya; Naik, Vinayak (Advisor) (2016-11-17)
    With multiple mobile applications for a single function in the market, there is a need to look into the resources the application utilizes as well. In this study, we focus on which resources a particular mobile application ...
  • Compilation and mining of peptide hormones and their receptors 
    Kaur, Dashleen; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2022-12)
    Hormones play a crucial role in communicating information between cells and organs; responsible for regulating almost all the physiological processes of organisms. Thus, it is important to collect, compile and mine hormones ...
  • A comprehensive understanding of code-mixed language semantics using hierarchical transformer 
    S, Tharun; Akhtar, Md. Shad (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2022-05)
    Being a popular mode of text-based communication in multilingual communities, code-mixing in online social media has became an important subject to study. Learn- ing the semantics and morphology of code-mixed language ...
  • Compressed sensing based underwater acoustic channel estimation using two dimensional frequency characterization 
    Ansari, Naushad; Gupta, Anubha (Advisor) (IIIT-Delhi, 2016)
    Underwater acoustic (UWA) channel estimation in shallow water depths is a challenging problem due to rapidly fluctuating transients in the acoustic channel impulse response. Transmitted signal undergoes nonstationary ...
  • Computational analysis and compilation of leukemia biomarkers 
    Walia, Anjali; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2020-06)
    LeukemiaBD, is a Database of Biomarker data for Leukemia. The aim of this database is to serve as a comprehensive repository catering to all relevant information related to Leukemia. The database currently has manually ...
  • A computational approach to assist healthcare professionals in selecting antibacterial drugs to treat bacterial infections 
    Chatterjee, Sayantika; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2023-05)
    The reproducibility of experiments has been a long-standing obstruction for farther scientific evolution. Computational methods are being involved to accelerate and to economize drug discovery and the development process. ...
  • Computational creativity: artificial intelligence models for the generation and classification of affective artwork and their human evaluation 
    Raj, Yash; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-06)
    Visual artwork is among the most salient forms of human expression. From prehistoric cave paintings to Renaissance and modern art, paintings have been a powerful medium for expressing emotions. With the advent of computing ...
  • Computational tools for designing therapeutic molecules against virulent factors of pathogens 
    Sharma, Neelam; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2022-06)
    Microbes are minute, unicellular, multicellular organisms, such as bacteria, algae, fungi, viruses and protozoans, that can be only visible through the microscope. These can be infectious as well as non-infectious in nature. ...
  • Computer assisted telephony system 
    Rana, Anurag; Singh, Pushpendra (Advisor) (2015-12-03)
    Telephones have high reach both in developed and developing countries that have made it a preferred tool for collecting and disseminating information. Voice based information collection systems o ffers data collection ...
  • Computer vision applications in wildlife conservation 
    Aggrawal, Palash; Anand, Saket (Advisor) (IIIT-Delhi, 2020)
    Monitoring of protected areas to curb illegal activities like poaching and animal trafficking is a monumental task. To augment existing manual patrolling efforts, unmanned aerial surveillance using visible and thermal ...

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